SIMBAD references

2019AJ....157...99L - Astron. J., 157, 99-99 (2019/March-0)

Photometric redshifts of emission-line galaxies using ramp filters.

LESSER R.W., MOODY J.W., STEELE J., BOHMAN J., McNEFF M., JONER M.D. and BARNES J.

Abstract (from CDS):

Broadband photometric redshifts are routinely obtained for galaxies to estimate their distances. While effective for many uses, the common resolution in z of 0.01-0.02 is too coarse for detailed large-scale structure mapping, particularly in low-density volumes where the galaxy distribution is least understood. To map galaxies in these low-density volumes, and noting that the percentage of galaxies having emission tends to rise as number density decreases, we have designed a filter system to photometrically measure the redshifts of galaxies with emission. The system consists of two "ramp" filters that cover a common wavelength range with transmission curves sloping from blue to red and from red to blue respectively. This causes the intensity of the image through either filter to be a function of the wavelength of the emission line. A third filter with a bandpass to the side is used to measure and remove the continuum. We have obtained a set of such filters that are tuned for isolating Hα in the redshift range of 3,000-9,000 km s–1. Simulated photometry, applied to spectra of 197 emission-line galaxies from the SDSS, shows the accuracy of the method to be between 250 and 620 km s–1, depending on line strength. Actual photometry of a sample of 16 active galaxies measured their redshifts with an accuracy of 573 km s–1. This is approximately an order of magnitude more accurate than broadband photometric redshifts. We discuss the errors inherent in this method and present ways to modify the filter set to further improve accuracy.

Abstract Copyright: © 2019. The American Astronomical Society. All rights reserved.

Journal keyword(s): large-scale structure of universe - techniques: photometric - techniques: radial velocities

VizieR on-line data: <Available at CDS (J/AJ/157/99): table1.dat table2.dat>

Simbad objects: 215

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